Machines are making faster and better decisions than humans about business and personal matters.
Artificial intelligence (AI) has come a long way. While our parents grew up with the dream to one day roam with robots, today we are interviewing Sophia, a citizen of Saudi Arabia, who is also the first humanoid robot to be granted a citizenship in any country. Deep learning, a brain-inspired discipline of AI has been around for a long time but has only recently taken off due to abundant data, plus advances in the Internet, machine learning algorithms and hardware accelerators. Critical decisions that used to take traditional trial and error experiments months and years to confirm are now taking minutes to hours with machine learning algorithms. Humans are relying more and more on machine learning to make better and faster business and personal decisions.
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Companies battle it out to get artificial intelligence to the edge using various chip architectures as their weapons of choice.
Bulk CMOS, FD-SOI and finFETs all on tap as big players vie for differentiation. But where will chipmakers go after 28nm?
Consortiums seek ways to ensure interoperability of hardened IP as way of cutting costs, time-to-market, but it’s not going to be easy.
No shortage of alternatives as materials, packaging and architectural options grow, and plenty of startups are jumping in.
Applied Materials circles market as demand for next-gen technology grows.
AI-enabled systems are being designed to process more data locally as device scaling benefits decline.
Chips will cost more to design and manufacture even without pushing to the latest node, but that’s not the whole story.
Access to source code makes it attractive for custom applications, but gaps remain in the tool flow and in software.
Growing volume of data and limited improvements in performance create new opportunities for approaches that never got off the ground.
Semiconductor design lags behind other industries in adopting the cloud, but there could be some good reasons for that. Change is difficult.
Behind closed doors: Semiconductor executives talk about the bugs they fear the most and the problems solving them.
While CPUs continue to evolve, performance is no longer limited to a single processor type or process geometry.
New data flow, higher switch density and IP integration create issues across the design flow.
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